[1]蔡大煊,姚旭峰,黄钢. 基于弥散张量白质网络的阿尔茨海默病研究[J].中国医学物理学杂志,2019,36(1):71-76.[doi:DOI:10.3969/j.issn.1005-202X.2019.01.014]
　CAI Daxuan,,et al. Research of Alzheimer’s disease based on white matter network constructed with diffusion tensor imaging[J].Chinese Journal of Medical Physics,2019,36(1):71-76.[doi:DOI:10.3969/j.issn.1005-202X.2019.01.014]
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 基于弥散张量白质网络的阿尔茨海默病研究()
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《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]

卷:
36卷
期数:
2019年第1期
页码:
71-76
栏目:
医学影像物理
出版日期:
2019-01-25

文章信息/Info

Title:
 Research of Alzheimer’s disease based on white matter network constructed with diffusion tensor imaging
文章编号:
1005-202X（2019）01-0071-06
作者:
 蔡大煊1; 2; 3; 姚旭峰2; 3; 黄钢2; 3
 1.上海理工大学医疗器械与食品学院， 上海 200082； 2.上海健康医学院医学影像学院， 上海 200120； 3.上海市分子影像重点实验室， 上海 200120
Author(s):
 CAI Daxuan1;  2;  3;  YAO Xufeng2;  3;  HUANG Gang2;  3
 1. School of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology, Shanghai 200082, China; 2. School of Medical Imaging, Shanghai University of Medicine and Health Sciences, Shanghai 200120, China; 3. Key Laboratory of Molecular Imaging in Shanghai, Shanghai 200120, China
关键词:
 ; 【关键词】阿尔茨海默病; 弥散张量成像; 白质网络; 网络拓扑参数
Keywords:
 ; Keywords: Alzheimer’s disease;  diffusion tensor imaging;  white matter network;  network topological parameter
分类号:
R445.2；R742
DOI:
DOI:10.3969/j.issn.1005-202X.2019.01.014
文献标志码:
A
摘要:
 【摘 要】 目的：利用弥散张量成像（DTI）技术构建大脑白质结构网络，通过网络拓扑参数研究阿尔茨海默病（AD）患者大脑微观结构的异常。 方法：重建19例正常人和20例AD患者的结构脑网络，采用双样本t检验，从全脑和特定脑区两个水平对AD患者与正常对照组的网络拓扑参数进行差异性分析。 结果：在全脑水平上，AD患者的加权特征路径长度（[Lp]）值上升，全局效率（[Eg]）、网络强度（[Sp]）、局部效率（[Elocal]）值下降，并且进一步研究发现：AD患者左半球[Lp]、加权簇系数（[Cp]）值上升，[Eg]值下降比右半球明显。在特定脑区水平上，选取楔前叶为感兴趣脑区，发现两侧楔前叶脑区的[Lp]值上升、[Eg]值下降，而[Cp]、[Elocal]值并没有明显差异。 结论：网络拓扑参数可以作为评估AD患者微观结构异常的指标，对早期诊断AD具有重要的指向作用。
Abstract:
 Abstract: Objective To construct white matter structural network with diffusion tensor imaging, and research the abnormalities of brain microstructure in patients with Alzheimer’s disease (AD). Methods The structural brain networks of 19 normal controls and 20 AD patients were reconstructed. Two-sample t-test was used to compare the differences in the network topological parameters of the whole brain and the specific brain region between AD patients and normal controls. Results For the whole brain, the weighted path length ([Lp]) was increased, while the global efficiency ([Eg]), network strength ([Sp]) and local efficiency ([Elocal]) were decreased in AD patients. The further studies showed that the increases of [Lp]and weighted clustering coefficient ([Cp]) and the decrease of [Eg] were more obviously in the left hemisphere of AD patient as compared with the right hemisphere. Precuneus was taken as the region of interest for analyzing the network topological parameters of the specific brain region, and the results revealed that[Lp]was increased and Eg was decreased in bilateral precuneus, and that no significant difference was found in [Cp]and[Elocal]. Conclusion The network topological parameters can be used as indexes to evaluate the abnormalities of brian microstructure in AD patients, which is of significance in the early diagnosis of AD.

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备注/Memo

备注/Memo:
 【收稿日期】2018-08-22
【基金项目】上海市自然科学基金（16ZR1416000）；上海健康医学院协同创新项目（HMCI-16-11-002）
【作者简介】蔡大煊，硕士研究生，研究方向：医学图像处理，E-mail: 13262819398@163.com
【通信作者】姚旭峰，副教授，研究方向：医学图像处理，E-mail:yao6636329@hotmail.com
更新日期/Last Update: 2019-01-24